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Why would having a larger sample size be a better idea than having a samll sample size when doing an experiment?
less bias and error occur when sample size is larger
A sample taken without bias?
random sample
What is it called when a sample doesn't represent the population being polled?
Bias
What is a random sample or one way to reduce when choosing people for an experiment?
bias
What is the difference between the sample mean and the population mean known as?
Sampling bias.
One way to ensure less sample bias?
Representative/random
Why would having a larger sample size be a better idea than having a samll sample size when doing an experiment?
less bias and error occur when sample size is larger
A sample taken without bias?
random sample
What is a sample taken without bias?
Random Sample
The most important step to ensure accuracy in a sample is?
The most important step to ensure accuracy in a sample is random selection. By randomly choosing samples from the population, you minimize bias and increase the likelihood that your sample is representative of the entire population. This helps to draw reliable conclusions and make valid inferences based on the sample data.
Science what is a sample taken without bias?
The answer is Random Sample
What is a sample that is taken without bias?
A randomly selected sample.
What is a sample taken with out bias?
random or blind
What properties should a sample have?
A sample should be representative of the population it is drawn from, have enough data points to provide reliable conclusions, and be selected randomly or systematically to minimize bias. Additionally, samples should be sufficiently large to ensure statistical significance.
What is a sample taken without bias a random what?
Selection, choice
What is sample taken without bias?
When a p-n junction is taken without a bias, it forms a PHOTO VOLTAIC CELL.
Why is it important for a sample must be homogeneous?
It is important for a sample to be homogeneous to ensure that the results obtained from the analysis are representative of the entire population. Homogeneous samples reduce the risk of bias and help to improve the validity and reliability of the study findings. This ensures that any conclusions drawn from the sample are more likely to be accurate and applicable to the broader population.
